LENOVO 21DE0042GE
Geekbench AI Score
17045
Single Precision Score
28425
Half Precision Score
10646
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Jurass |
| Upload Date | July 15 2025 08:27 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21DE0042GE |
| Motherboard | LENOVO 21DE0042GE |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7137
1.33 KIPS |
|
|
Image Classification (HP)
|
99% |
11340
2.12 KIPS |
|
|
Image Classification (Q)
|
100% |
5006
930.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
11989
194.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17850
289.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8734
142.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
64453
75.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
212431
247.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
58938
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
8841
701.3 IPS |
|
|
Object Detection (HP)
|
100% |
14225
1.13 KIPS |
|
|
Object Detection (Q)
|
85% |
6228
501.3 IPS |
|
|
Face Detection (SP)
|
100% |
20873
248.0 IPS |
|
|
Face Detection (HP)
|
100% |
33678
400.2 IPS |
|
|
Face Detection (Q)
|
97% |
15056
179.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
41993
323.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
76207
587.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
25929
207.6 IPS |
|
|
Style Transfer (SP)
|
100% |
166135
213.6 IPS |
|
|
Style Transfer (HP)
|
100% |
427403
549.4 IPS |
|
|
Style Transfer (Q)
|
98% |
112437
145.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27396
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37444
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15010
555.8 IPS |
|
|
Text Classification (SP)
|
100% |
2857
3.81 KIPS |
|
|
Text Classification (HP)
|
99% |
3677
4.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1333
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3726
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3728
64.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1327
24.9 IPS |
